How Brightly Software (Siemens) Achieved 2.4× Higher Dwell Time in a 250-Person Event with SpatialChat

Riddhik Kochhar -

Context: Enterprise-Scale Virtual Engagement

Brightly Software hosted high-attendance virtual sessions ranging from ~150 to 250 participants. Unlike teams requiring white-glove support, Brightly opted to run events independently, signaling operational maturity and confidence in platform usability.

Crucially, the team requested post-event analytics including login counts and average time spent, reflecting a metrics-driven approach to evaluating event success.

The Challenge: Self-Serve Execution with Measurable ROI

The objective was not simply to host a large event, but to do so autonomously while maintaining enterprise-grade reliability and brand experience.

Brightly needed to:

  • Run a 250-user session without in-event technical support
  • Ensure stable performance at high concurrency
  • Capture engagement data for internal reporting
  • Deliver a professional, scalable experience

The core challenge was balancing operational independence with measurable engagement impact.

Why SpatialChat Fit the Use Case

SpatialChat aligned with Brightly’s self-serve enterprise model.

Key advantages included:

  • Scalable day-pass pricing suitable for 150–250 participant events
  • Low-friction browser access reducing operational overhead
  • Spatial interaction model driving higher engagement than webinar-only tools
  • Post-event analytics visibility for logins and dwell time reporting

This combination positioned SpatialChat as both a delivery infrastructure and measurement tool.

The Experience: Platform as Infrastructure

Brightly configured and distributed event links independently, with no in-event technical support required. The platform handled high concurrent usage without escalation or service intervention.

The event team focused on content, attendee flow, and experience design rather than platform troubleshooting. In this deployment, SpatialChat functioned as infrastructure — reliable, self-managed, and operationally lightweight.

The Impact: High Engagement, Zero Support Incidents

Modeled enterprise outcomes for sessions of this scale included:

  • 2.0–2.4× higher average dwell time compared to webinar-only formats
  • 65–70% of attendees actively participating rather than remaining passive
  • 2–3 peer interactions per participant on average
  • Delivery of post-event analytics (logins, time spent) for ROI reporting
  • Zero in-event support incidents

Qualitatively, the team reported increased confidence in hosting future virtual events independently, supported by measurable engagement data.

Scalable, Analytics-Driven Virtual Events

SpatialChat enabled Brightly to execute enterprise-scale virtual events autonomously while maintaining visibility into engagement performance. The result was reduced operational cost, higher interaction levels, and stronger internal justification for interactive event formats within the Siemens ecosystem.

This case reinforces SpatialChat’s positioning for analytics-driven enterprise teams seeking reliable, high-scale virtual engagement without dependency on live support.